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检索条件"主题词=INDUCTIVE LOGIC PROGRAMMING"
524 条 记 录,以下是121-130 订阅
排序:
A novel ILP framework for summarizing content with high lexical variety
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NATURAL LANGUAGE ENGINEERING 2018年 第6期24卷 887-920页
作者: Luo, Wencan Liu, Fei Liu, Zitao Litman, Diane Univ Pittsburgh Pittsburgh PA 15260 USA Univ Cent Florida Orlando FL 32816 USA Pinterest Inc San Francisco CA 94103 USA
Summarizing content contributed by individuals can be challenging, because people make different lexical choices even when describing the same events. However, there remains a significant need to summarize such conten... 详细信息
来源: 评论
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP
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MACHINE LEARNING 2018年 第7期107卷 1119-1140页
作者: Muggleton, Stephen H. Schmid, Ute Zeller, Christina Tamaddoni-Nezhad, Alireza Besold, Tarek Imperial Coll London Dept Comp London England Univ Bamberg Cognit Syst Grp Bamberg Germany Univ Surrey Dept Comp Sci Guildford Surrey England Univ Bremen Digital Media Lab Bremen Germany
During the 1980s Michie defined Machine Learning in terms of two orthogonal axes of performance: predictive accuracy and comprehensibility of generated hypotheses. Since predictive accuracy was readily measurable and ... 详细信息
来源: 评论
Meta-Interpretive Learning from noisy images
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MACHINE LEARNING 2018年 第7期107卷 1097-1118页
作者: Muggleton, Stephen Dai, Wang-Zhou Sammut, Claude Tamaddoni-Nezhad, Alireza Wen, Jing Zhou, Zhi-Hua Imperial Coll London Dept Comp London England Nanjing Univ LAMDA Grp Nanjing Jiangsu Peoples R China Univ New South Wales Sch Comp Sci & Engn Sydney NSW Australia Univ Surrey Dept Comp Sci Guildford Surrey England Shanxi Univ Sch Comp & Informat Technol Taiyuan Shanxi Peoples R China
Statistical machine learning is widely used in image classification. However, most techniques (1) require many images to achieve high accuracy and (2) do not provide support for reasoning below the level of classifica... 详细信息
来源: 评论
Identification of biological transition systems using meta-interpreted logic programs
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MACHINE LEARNING 2018年 第7期107卷 1171-1206页
作者: Bain, Michael Srinivasan, Ashwin Univ New South Wales Sch Comp Sci & Engn Sydney NSW Australia BITS Pilani Dept Comp Sci & Informat Syst Goa Campus Sancoale India
We adopt the principal idea from Plotkin's Structural Operational Semantics (SOS), in which computation by a system is to be understood using: (a) a signature of configurations,;(b) a binary relation () defined ov... 详细信息
来源: 评论
Context-sensitive refinements for stochastic optimisation algorithms in inductive logic programming
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ARTIFICIAL INTELLIGENCE REVIEW 2011年 第1期35卷 19-36页
作者: Buryan, Petr Kubalik, Jiri Czech Tech Univ Dept Cybernet CR-16635 Prague Czech Republic
We describe a new approach to the application of stochastic search in inductive logic programming (ILP). Unlike traditional approaches we do not focus directly on evolving logical concepts but our refinement-based app... 详细信息
来源: 评论
Consensus-based modeling using distributed feature construction with ILP
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MACHINE LEARNING 2018年 第5期107卷 825-858页
作者: Dutta, Haimonti Srinivasan, Ashwin SUNY Buffalo Dept Management Sci & Syst Buffalo NY 14260 USA BITS Pilani Dept Comp Sci & Informat Syst Goa Campus Pilani Goa India
A particularly successful role for inductive logic programming (ILP) is as a tool for discovering useful relational features for subsequent use in a predictive model. Conceptually, the case for using ILP to construct ... 详细信息
来源: 评论
Bootstrapping Knowledge Graphs From Images and Text
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FRONTIERS IN NEUROROBOTICS 2019年 13卷 93页
作者: Mao, Jiayuan Yao, Yuan Heinrich, Stefan Hinz, Tobias Weber, Cornelius Wermter, Stefan Liu, Zhiyuan Sun, Maosong Tsinghua Univ Dept Comp Sci & Technol Nat Language Proc Lab Beijing Peoples R China Univ Hamburg Dept Informat Knowledge Technol Grp Hamburg Germany
The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation. A promising approach is to study generating K... 详细信息
来源: 评论
A proposal to apply inductive logic programming to self-healing problem in grid computing: How will it work?
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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2011年 第17期23卷 2118-2135页
作者: Ferro, Mariza Mury, Antonio Roberto Schulze, Bruno LNCC Natl Lab Sci Comp BR-25651075 Petropolis RJ Brazil
As computation systems get extremely large and complex, failure diagnosis becomes even more complex. To cope with this ever increasing complexity of managing heterogeneous systems-such as grids and nowadays clouds-sys... 详细信息
来源: 评论
Exploiting Answer Set programming with External Sources for Meta-Interpretive Learning
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THEORY AND PRACTICE OF logic programming 2018年 第3-4期18卷 571-588页
作者: Kaminski, Tobias Eiter, Thomas Inoue, Katsumi Tech Univ Vienna TU Wien Vienna Austria Natl Inst Informat Tokyo Japan
Meta-Interpretive Learning (MIL) learns logic programs from examples by instantiating meta-rules, which is implemented by the Metagol system based on Prolog. Viewing MIL-problems as combinatorial search problems, they... 详细信息
来源: 评论
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples
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THEORY AND PRACTICE OF logic programming 2018年 第3-4期18卷 623-637页
作者: Mitra, Arindam Baral, Chitta Arizona State Univ Tempe AZ 85287 USA
Over the years the Artificial Intelligence (AI) community has produced several datasets which have given the machine learning algorithms the opportunity to learn various skills across various domains. However, a subcl... 详细信息
来源: 评论